Mathematical modelling and time series clustering of Mpox outbreak: A comparative study of the top 10 affected countries and implications for future outbreak management

Mark-Daniels Tamakloe , Ametus Kuuwill , Ibrahim Osumanu , Helina Siripi
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Abstract

The 2022 Mpox outbreak, characterized by its rapid cross-continental spread beyond traditionally endemic regions, presented a renewed threat to global health security. This study presents a comparative epidemiological analysis of the ten countries most affected by Mpox, integrating mathematical modelling with time series clustering, the first of its kind to analyze the 2022 WHO Mpox data. By applying an SIR-based model to estimate the effective transmission rate, basic reproduction number, time of first infection, and initial susceptible population, the study captures both the pace and persistence of Mpox spread, while critically assessing the effectiveness of national public health responses. Key findings reveal a paradox in North America: Canada exhibited a high transmission rate but a low reproduction number, indicating an elevated transmission potential per contact alongside limited secondary spread. This is likely due to concurrent containment measures or behavioral factors. In contrast, the United States, despite having a lower initial transmission rate, recorded a higher reproduction number. Similarly, Germany exhibited a similar risk trajectory, with elevated reproductive numbers despite robust infrastructure. The cases in the USA and Germany are likely due to systemic health and socio-political policy gaps and delayed behavior-targeted interventions, particularly in the population of men having sex with men (MSM). In Latin America, countries such as Peru and Mexico suffered disproportionately, likely due to limited access to healthcare, which compounded transmission dynamics and reproductive potential. Our study demonstrates that effective Mpox control is not solely dependent on health infrastructure, but also on behavioral targeting, equity, and adaptive health governance. This calls for cross-country and intercontinental collaborations towards combating current and future health shocks, including epidemics.
m痘暴发的数学建模和时间序列聚类:十大受影响国家的比较研究及其对未来暴发管理的影响
2022年麻疹疫情的特点是迅速跨大陆传播,超出了传统流行地区,对全球卫生安全构成了新的威胁。本研究对受麻疹影响最严重的10个国家进行了比较流行病学分析,将数学模型与时间序列聚类相结合,这是首次对2022年世卫组织麻疹数据进行分析。通过应用基于免疫特性的模型来估计有效传播率、基本繁殖数、首次感染时间和初始易感人群,该研究捕捉到了痘传播的速度和持续时间,同时严格评估了国家公共卫生应对措施的有效性。主要发现揭示了北美的一个悖论:加拿大表现出高传播率,但繁殖数量低,表明每次接触的传播潜力升高,同时继发传播有限。这可能是由于同时采取的遏制措施或行为因素造成的。相比之下,尽管美国的初始传播率较低,但其繁殖数量却较高。同样,德国也表现出类似的风险轨迹,尽管基础设施健全,但该国的生育数量仍在上升。美国和德国的病例可能是由于系统性的卫生和社会政治政策差距以及延迟的针对行为的干预,特别是在男男性行为人群中。在拉丁美洲,秘鲁和墨西哥等国家受到的影响尤为严重,可能是由于获得医疗保健的机会有限,这加剧了传播动态和生殖潜力。我们的研究表明,有效的麻疹控制不仅依赖于卫生基础设施,还依赖于行为目标、公平和适应性卫生治理。这就要求开展跨国和洲际合作,以应对当前和未来的健康冲击,包括流行病。
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来源期刊
Global Epidemiology
Global Epidemiology Medicine-Infectious Diseases
CiteScore
5.00
自引率
0.00%
发文量
22
审稿时长
39 days
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